Evidence map›Paper›PMID 28634123›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2017

Clinical Utility of Chromosomal Aneusomy in Individuals at High Risk of Lung Cancer.

Anna E Barón, Severine Kako, William J Feser, Heather Malinowski, Daniel Merrick, Kavita Garg, Stephen Malkoski, Shannon Pretzel, Jill M Siegfried, Wilbur A Franklin and 3 more

Abstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Anna E BarónDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado. Electronic address: anna.baron@ucdenver.edu.
Severine KakoDepartment of Medicine, Division of Medical Oncology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Department of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
William J FeserDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Heather MalinowskiDepartment of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Daniel MerrickDepartment of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Kavita GargDepartment of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Stephen MalkoskiDepartment of Pulmonary and Critical Care Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Shannon PretzelUniversity of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Jill M SiegfriedDepartment of Pharmacology, Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota; Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Wilbur A FranklinDepartment of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
York MillerDepartment of Pulmonary and Critical Care Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Veterans Affairs Medical Center, Denver, Colorado.
Holly J WolfDepartment of Community and Behavioral Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Marileila Varella-GarciaDepartment of Medicine, Division of Medical Oncology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Department of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Tissue Bank and Biomarkers CoreP50CA058187 · NCI · UNIVERSITY OF COLORADO DENVER · PI MILLER, YORK E · 1992 to 2018
$43.8M
NCI NIH HHS P30 CA046934NCI NIH HHS P50 CA058187
6 · The paper itself

Abstract

introductionLow-dose computed tomography screening for lung cancer has a high false-positive rate with frequent discovery of indeterminate pulmonary nodules. Noninvasive biomarkers are needed to reduce false positives and improve risk stratification. A retrospective longitudinal evaluation was performed to assess chromosomal aneusomy in sputum by fluorescence in situ hybridization (CA-FISH) in four nested case-control studies.

methodsReceiver operating characteristic analysis resulted in two grouped cohorts: a high-risk cohort (Colorado High-Risk Cohort and Colorado Nodule Cohort [68 case patients and 69 controls]) and a screening cohort (American College of Radiology Imaging Network/National Lung Screening Trial and Pittsburgh Lung Screening Study [97 case patients and 185 controls]). The CA-FISH assay was a four-target DNA panel encompassing the EGFR and v-myc avian myelocytomatosis viral oncogene homolog (MYC) genes, and the 5p15 and centromere 6 regions or the fibroblast growth factor 1 gene (FGFR1) and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha gene (PIK3CA). A four-category scale (normal, probably normal, probably abnormal, and abnormal) was applied. Sensitivity, specificity, and positive and negative likelihood ratios (LRs) (with 95% confidence intervals [CIs]) were estimated for each cohort.

resultsSensitivity and specificity were, respectively, 0.67 (95% CI: 0.55-0.78) and 0.94 (95% CI: 0.85-0.98) for high-risk participants and 0.20 (95% CI: 0.13-0.30) and 0.84 (95% CI: 0.78-0.89) for screening participants. The positive and negative LRs were, respectively, 11.66 (95% CI: 4.44-30.63) and 0.34 (95% CI: 0.24-0.48) for high-risk participants and 1.36 (95% CI: 0.81-2.28) and 0.93 (95% CI: 0.83-1.05) for screening participants.

conclusionThe high positive LR of sputum CA-FISH indicates that it could be a useful adjunct to low-dose computed tomography for lung cancer in high-risk settings. For screening, however, its low positive LR limits clinical utility. Prospective assessment of CA-FISH in the incidentally identified indeterminate nodule setting is ongoing in the Colorado Pulmonary Nodule Biomarker Trial.

Indexed as

AgedChromosome AberrationsFemaleHumansLung NeoplasmsMaleMiddle AgedRisk FactorsEarly detectionIndeterminate nodulesNoninvasive biomarkerPositive likelihood ratioPosttest probability

Identifiers

PMID28634123
PMCPMC5647865

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.